MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3920
Single Precision Score
5443
Half Precision Score
4548
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | motivio |
| Upload Date | August 15 2024 05:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (Q)
|
99% |
2021
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1443
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8687
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17204
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14620
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (HP)
|
97% |
2549
202.9 IPS |
|
|
Object Detection (Q)
|
94% |
1973
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5194
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
3408
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6798
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9799
75.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4761
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19731
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29932
38.5 IPS |
|
|
Style Transfer (Q)
|
100% |
30035
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5248
193.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4231
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
2743
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4612
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4600
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4811
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4748
82.0 IPS |
