MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4785
Single Precision Score
7560
Half Precision Score
6042
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:07 PM |
| Views | 2 |
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 (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
2429
451.6 IPS |
|
|
Image Classification (Q)
|
96% |
1792
334.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16654
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28014
32.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21729
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1950
154.6 IPS |
|
|
Object Detection (HP)
|
97% |
2986
237.7 IPS |
|
|
Object Detection (Q)
|
94% |
2188
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
6510
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3903
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7259
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13123
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9150
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30519
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44623
57.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33208
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5943
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7980
294.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5114
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
2750
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4915
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5348
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4707
81.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7292
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7015
121.2 IPS |
