MacBook Pro (13-inch, 2022)
Geekbench ML Score
9993
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 03:27 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.46 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% |
2855
534.2 IPS |
|
|
Image Classification (F16)
|
100% |
10738
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
11919
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1226
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1920
32.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1944
32.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22912
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94476
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97100
117.6 IPS |
|
|
Object Detection (F32)
|
100% |
2350
175.4 IPS |
|
|
Object Detection (F16)
|
100% |
5444
406.4 IPS |
|
|
Object Detection (I8)
|
97% |
2600
194.1 IPS |
|
|
Face Detection (F32)
|
100% |
9334
111.0 IPS |
|
|
Face Detection (F16)
|
97% |
20507
243.8 IPS |
|
|
Face Detection (I8)
|
96% |
20433
243.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16417
127.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
51525
399.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
49443
383.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40692
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
150457
197.9 IPS |
|
|
Style Transfer (I8)
|
100% |
149974
197.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9644
344.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34553
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35741
1.28 KIPS |
|
|
Text Classification (F32)
|
100% |
2184
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3551
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3511
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1111
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
