MacBook Pro (13-inch, 2022)
Geekbench AI Score
3460
Single Precision Score
26169
Half Precision Score
29170
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lesslikely |
| Upload Date | December 18 2024 06:32 AM |
| Views | 8 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
14154
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
14989
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19342
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23888
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6865
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
106802
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106430
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
15116
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17462
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
33554
398.7 IPS |
|
|
Face Detection (Q)
|
100% |
43107
512.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5733
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86495
666.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109190
853.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18809
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
198237
254.8 IPS |
|
|
Style Transfer (Q)
|
96% |
194488
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39202
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47341
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3624
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4269
73.8 IPS |
