MacBook Pro (13-inch, 2022)
Geekbench AI Score
7154
Single Precision Score
8234
Half Precision Score
7535
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 05:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3681
684.6 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
96% |
3461
646.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5664
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5865
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5617
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24460
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26628
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25992
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (HP)
|
100% |
3785
300.2 IPS |
|
|
Object Detection (Q)
|
92% |
3401
271.5 IPS |
|
|
Face Detection (SP)
|
100% |
10269
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
11940
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
9795
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16594
127.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18294
140.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16717
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42706
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49258
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47776
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9889
365.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10772
397.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8970
331.2 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1220
21.1 IPS |
