MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8118
Single Precision Score
9250
Half Precision Score
2989
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 15 2024 07:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5342
993.4 IPS |
|
|
Image Classification (HP)
|
100% |
5401
1.00 KIPS |
|
|
Image Classification (Q)
|
97% |
4070
759.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6919
112.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8101
131.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8547
138.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
34713
40.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
36786
42.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
33688
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
3250
257.8 IPS |
|
|
Object Detection (HP)
|
100% |
5525
438.2 IPS |
|
|
Object Detection (Q)
|
92% |
4412
352.2 IPS |
|
|
Face Detection (SP)
|
100% |
14492
172.2 IPS |
|
|
Face Detection (HP)
|
100% |
17650
209.7 IPS |
|
|
Face Detection (Q)
|
100% |
12983
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22495
173.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24601
189.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
152.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77022
99.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86124
110.7 IPS |
|
|
Style Transfer (Q)
|
96% |
80129
103.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13697
505.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14656
541.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11085
409.3 IPS |
|
|
Text Classification (SP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
93% |
672
902.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1425
24.6 IPS |
