MacBook Pro (13-inch, 2022)
Geekbench ML Score
9625
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 21 2025 04:38 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3290
615.7 IPS |
|
|
Image Classification (F16)
|
100% |
11625
2.18 KIPS |
|
|
Image Classification (I8)
|
99% |
12825
2.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1206
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1899
31.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1862
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23094
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
92553
112.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
97001
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
2129
158.9 IPS |
|
|
Object Detection (F16)
|
100% |
5964
445.2 IPS |
|
|
Object Detection (I8)
|
97% |
2844
212.3 IPS |
|
|
Face Detection (F32)
|
100% |
9244
109.9 IPS |
|
|
Face Detection (F16)
|
97% |
15676
186.4 IPS |
|
|
Face Detection (I8)
|
96% |
20424
242.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15767
122.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
56525
438.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
47233
366.3 IPS |
|
|
Style Transfer (F32)
|
100% |
29146
38.3 IPS |
|
|
Style Transfer (F16)
|
100% |
136292
179.3 IPS |
|
|
Style Transfer (I8)
|
100% |
138134
181.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7118
254.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35707
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35237
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2111
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3445
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1051
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1413
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
892
16.4 IPS |
