MacBook Pro (13-inch, 2022)
Geekbench AI Score
3458
Single Precision Score
26499
Half Precision Score
29482
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | June 28 2025 10:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
14328
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15411
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19889
322.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24284
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
106197
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105993
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
15936
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17832
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
34084
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
44301
526.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5511
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86817
668.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107957
843.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18628
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205209
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
192161
248.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3984
147.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39486
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48257
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4268
73.8 IPS |
