MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3948
Single Precision Score
5564
Half Precision Score
4620
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | morglor |
| Upload Date | August 24 2024 04:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1677
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
2132
396.4 IPS |
|
|
Image Classification (Q)
|
99% |
2125
396.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1483
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8516
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17025
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14485
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.2 IPS |
|
|
Object Detection (HP)
|
97% |
2554
203.3 IPS |
|
|
Object Detection (Q)
|
94% |
1957
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5136
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3328
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6692
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9631
74.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5088
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21507
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31593
40.6 IPS |
|
|
Style Transfer (Q)
|
100% |
31387
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4292
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4575
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4534
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4790
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4804
83.0 IPS |
