MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3907
Single Precision Score
5525
Half Precision Score
4800
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 02:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
1619
301.0 IPS |
|
|
Image Classification (HP)
|
100% |
2117
393.6 IPS |
|
|
Image Classification (Q)
|
96% |
1667
311.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2211
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8521
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17003
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14690
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.2 IPS |
|
|
Object Detection (HP)
|
97% |
2529
201.4 IPS |
|
|
Object Detection (Q)
|
94% |
1944
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5066
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3417
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6685
51.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
9614
74.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7406
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21415
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31263
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26222
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5917
218.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4559
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4536
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4714
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4722
81.6 IPS |
