MacBook Pro (13-inch, 2022)
Geekbench AI Score
7165
Single Precision Score
8037
Half Precision Score
7080
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 22 2025 11:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
3757
698.7 IPS |
|
|
Image Classification (HP)
|
100% |
3646
678.1 IPS |
|
|
Image Classification (Q)
|
97% |
2992
558.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4044
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5019
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5110
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24440
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26337
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24423
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3707
294.0 IPS |
|
|
Object Detection (HP)
|
100% |
3720
295.1 IPS |
|
|
Object Detection (Q)
|
91% |
3117
249.1 IPS |
|
|
Face Detection (SP)
|
100% |
10403
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
12090
143.7 IPS |
|
|
Face Detection (Q)
|
100% |
8455
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16763
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17968
138.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14942
116.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42850
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48609
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45439
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9756
360.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10209
377.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8104
299.2 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3735
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1565
27.0 IPS |
