MacBook Pro (13-inch, 2022)
Geekbench AI Score
6669
Single Precision Score
7665
Half Precision Score
6686
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lesslikely |
| Upload Date | November 12 2024 07:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3742
696.0 IPS |
|
|
Image Classification (HP)
|
100% |
3728
693.2 IPS |
|
|
Image Classification (Q)
|
97% |
3087
576.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4080
66.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5110
82.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5185
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24713
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26532
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24712
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (HP)
|
100% |
3807
302.0 IPS |
|
|
Object Detection (Q)
|
91% |
3196
255.4 IPS |
|
|
Face Detection (SP)
|
100% |
10236
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
12173
144.6 IPS |
|
|
Face Detection (Q)
|
100% |
8469
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17007
131.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18491
142.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15471
120.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43025
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49169
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
45871
59.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10226
377.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10839
400.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8512
314.3 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3561
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
776
13.4 IPS |
