MacBook Pro (13-inch, 2022)
Geekbench AI Score
6594
Single Precision Score
7381
Half Precision Score
6519
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jamesbogert |
| Upload Date | December 10 2024 06:04 AM |
| Views | 1 |
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% |
3640
676.9 IPS |
|
|
Image Classification (HP)
|
100% |
3673
683.1 IPS |
|
|
Image Classification (Q)
|
97% |
2970
554.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4055
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5011
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5077
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24477
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26339
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24465
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3541
280.9 IPS |
|
|
Object Detection (HP)
|
100% |
3673
291.3 IPS |
|
|
Object Detection (Q)
|
91% |
3066
245.0 IPS |
|
|
Face Detection (SP)
|
100% |
10385
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
11876
141.1 IPS |
|
|
Face Detection (Q)
|
100% |
8266
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16431
126.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17791
137.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14681
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42593
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48812
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
45429
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9802
361.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10093
372.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7960
293.9 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3684
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
98% |
759
13.1 IPS |
