MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4818
Single Precision Score
7462
Half Precision Score
5975
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:24 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.9 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.4 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16692
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27937
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
21686
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.3 IPS |
|
|
Object Detection (HP)
|
97% |
2962
235.8 IPS |
|
|
Object Detection (Q)
|
94% |
2171
173.0 IPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6552
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3851
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7287
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12733
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8885
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30619
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
43482
55.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33680
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7832
289.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5069
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4975
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4964
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4710
81.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7001
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7003
121.0 IPS |
