MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4877
Single Precision Score
7514
Half Precision Score
5928
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kernkraft |
| Upload Date | October 02 2024 06:50 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
2397
445.7 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16767
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28910
33.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21963
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.3 IPS |
|
|
Object Detection (HP)
|
97% |
3016
240.1 IPS |
|
|
Object Detection (Q)
|
94% |
2193
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
4010
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6424
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
3819
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7395
57.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12757
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8774
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30935
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42540
54.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32044
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5957
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7892
291.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5075
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4883
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7146
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7027
121.4 IPS |
