MacBook Pro (13-inch, 2022)
Geekbench ML Score
9738
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 12 2025 06:01 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.45 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% |
3566
667.3 IPS |
|
|
Image Classification (F16)
|
100% |
10151
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
12408
2.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1569
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2021
33.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2032
33.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23173
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
92560
112.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96573
116.9 IPS |
|
|
Object Detection (F32)
|
100% |
2162
161.4 IPS |
|
|
Object Detection (F16)
|
100% |
5474
408.7 IPS |
|
|
Object Detection (I8)
|
97% |
2807
209.6 IPS |
|
|
Face Detection (F32)
|
100% |
9492
112.9 IPS |
|
|
Face Detection (F16)
|
97% |
16524
196.5 IPS |
|
|
Face Detection (I8)
|
96% |
20343
241.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16413
127.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
48375
375.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
48606
376.9 IPS |
|
|
Style Transfer (F32)
|
100% |
24953
32.8 IPS |
|
|
Style Transfer (F16)
|
100% |
150601
198.1 IPS |
|
|
Style Transfer (I8)
|
100% |
134522
177.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8244
294.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33642
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36003
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2161
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3573
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3625
5.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
