MacBook Pro (13-inch, 2022)
Geekbench AI Score
6714
Single Precision Score
6871
Half Precision Score
2186
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MutnuyHavy |
| Upload Date | September 18 2024 04:02 AM |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3465
644.4 IPS |
|
|
Image Classification (HP)
|
100% |
3463
644.1 IPS |
|
|
Image Classification (Q)
|
97% |
2625
489.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3952
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4837
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24457
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26058
30.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
24141
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3641
288.8 IPS |
|
|
Object Detection (HP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (Q)
|
92% |
2924
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
9908
117.7 IPS |
|
|
Face Detection (HP)
|
100% |
11515
136.8 IPS |
|
|
Face Detection (Q)
|
100% |
7933
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16975
130.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17690
136.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42654
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48193
62.0 IPS |
|
|
Style Transfer (Q)
|
96% |
44963
58.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9491
350.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10153
374.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7763
286.7 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
93% |
565
758.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1837
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1783
30.8 IPS |
