MacBook Pro (14-inch, 2023)
Geekbench AI Score
1709
Single Precision Score
13324
Half Precision Score
14052
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | vadimpaj |
| Upload Date | August 16 2024 10:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
839
156.0 IPS |
|
|
Image Classification (HP)
|
100% |
6628
1.23 KIPS |
|
|
Image Classification (Q)
|
99% |
6981
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4907
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8562
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
89895
104.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
85108
99.8 IPS |
|
|
Object Detection (SP)
|
100% |
980
77.8 IPS |
|
|
Object Detection (HP)
|
99% |
8495
675.7 IPS |
|
|
Object Detection (Q)
|
93% |
8514
679.4 IPS |
|
|
Face Detection (SP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
10312
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
11737
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3005
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51569
397.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
56523
437.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10098
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
138069
177.5 IPS |
|
|
Style Transfer (Q)
|
100% |
139135
178.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19744
729.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26180
969.9 IPS |
|
|
Text Classification (SP)
|
100% |
743
991.6 IPS |
|
|
Text Classification (HP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (Q)
|
93% |
2848
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1758
30.4 IPS |
