MacBook Pro (13-inch, 2022)
Geekbench AI Score
7072
Single Precision Score
8029
Half Precision Score
7086
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 20 2025 01:19 AM |
| Views | 4 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3661
680.8 IPS |
|
|
Image Classification (HP)
|
100% |
3617
672.6 IPS |
|
|
Image Classification (Q)
|
97% |
3037
566.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4052
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5028
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5114
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24640
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26334
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24442
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3686
292.4 IPS |
|
|
Object Detection (HP)
|
100% |
3689
292.6 IPS |
|
|
Object Detection (Q)
|
91% |
3051
243.8 IPS |
|
|
Face Detection (SP)
|
100% |
10451
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
12064
143.3 IPS |
|
|
Face Detection (Q)
|
100% |
8305
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16870
130.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17901
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
15628
122.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42895
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48642
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45549
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10212
377.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10162
375.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7980
294.7 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3745
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1561
27.0 IPS |
