MacBook Pro (13-inch, 2022)
Geekbench AI Score
3224
Single Precision Score
4825
Half Precision Score
4118
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MutnuyHavy |
| Upload Date | September 18 2024 03:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
1934
359.6 IPS |
|
|
Image Classification (Q)
|
96% |
1452
271.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1858
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6137
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14654
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12734
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2268
180.6 IPS |
|
|
Object Detection (Q)
|
94% |
1746
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4361
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
2871
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5392
41.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8659
66.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6521
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17304
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27026
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21965
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3628
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3456
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4535
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4539
78.4 IPS |
