MacBook Pro (13-inch, 2022)
Geekbench AI Score
3432
Single Precision Score
23104
Half Precision Score
25394
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ticonderoga |
| Upload Date | January 10 2025 08:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
13799
2.57 KIPS |
|
|
Image Classification (Q)
|
99% |
14663
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16015
259.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
15443
250.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6819
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
97867
114.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
98973
116.1 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (HP)
|
99% |
14324
1.14 KIPS |
|
|
Object Detection (Q)
|
91% |
16662
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
22037
261.8 IPS |
|
|
Face Detection (Q)
|
100% |
34704
412.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5743
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74972
577.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
81466
629.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18590
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
151905
195.3 IPS |
|
|
Style Transfer (Q)
|
100% |
151991
195.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4033
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38672
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
45605
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3666
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4002
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4157
71.8 IPS |
