MacBook Pro (13-inch, 2022)
Geekbench AI Score
7518
Single Precision Score
8464
Half Precision Score
7783
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | May 07 2025 12:31 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
3665
681.5 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (Q)
|
96% |
3444
643.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5699
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5861
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5609
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24408
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26245
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25339
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (HP)
|
100% |
3737
296.4 IPS |
|
|
Object Detection (Q)
|
92% |
3369
268.9 IPS |
|
|
Face Detection (SP)
|
100% |
10176
120.9 IPS |
|
|
Face Detection (HP)
|
100% |
12037
143.0 IPS |
|
|
Face Detection (Q)
|
100% |
9878
117.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16651
128.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17721
136.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
16730
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42667
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48887
62.8 IPS |
|
|
Style Transfer (Q)
|
96% |
47481
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9827
362.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10138
374.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8849
326.8 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1834
31.7 IPS |
