MacBook Pro (13-inch, 2022)
Geekbench AI Score
5526
Single Precision Score
6122
Half Precision Score
5374
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ticonderoga |
| Upload Date | August 18 2024 08:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3577
665.2 IPS |
|
|
Image Classification (HP)
|
100% |
3487
648.4 IPS |
|
|
Image Classification (Q)
|
99% |
3077
574.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4892
79.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4757
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24469
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26106
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23482
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
3537
280.6 IPS |
|
|
Object Detection (HP)
|
100% |
3592
284.9 IPS |
|
|
Object Detection (Q)
|
92% |
2791
222.8 IPS |
|
|
Face Detection (SP)
|
100% |
9819
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
11326
134.6 IPS |
|
|
Face Detection (Q)
|
100% |
7553
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16485
127.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17669
136.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
17515
135.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42615
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48304
62.1 IPS |
|
|
Style Transfer (Q)
|
100% |
47997
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9534
352.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10144
374.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7609
281.9 IPS |
|
|
Text Classification (SP)
|
100% |
333
443.8 IPS |
|
|
Text Classification (HP)
|
100% |
495
660.6 IPS |
|
|
Text Classification (Q)
|
93% |
491
659.2 IPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
884
15.3 IPS |
