MacBook Pro (13-inch, 2022)
Geekbench AI Score
6544
Single Precision Score
7458
Half Precision Score
6578
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 27 2024 09:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
3685
685.3 IPS |
|
|
Image Classification (HP)
|
100% |
3666
681.7 IPS |
|
|
Image Classification (Q)
|
97% |
3056
570.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3964
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5004
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5101
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24586
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26202
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24474
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
3717
294.9 IPS |
|
|
Object Detection (Q)
|
91% |
3132
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
10379
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11810
140.3 IPS |
|
|
Face Detection (Q)
|
100% |
8360
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16627
128.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17953
138.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
14864
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42850
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48665
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45391
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9927
366.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10173
375.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8009
295.7 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
757
13.1 IPS |
