MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4787
Single Precision Score
7404
Half Precision Score
5988
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 01:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1507
280.2 IPS |
|
|
Image Classification (HP)
|
100% |
2404
447.1 IPS |
|
|
Image Classification (Q)
|
96% |
1801
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3394
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16721
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28580
33.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21396
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.4 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2172
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
4037
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
6644
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3976
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7424
57.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13312
102.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9154
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30813
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
42577
54.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33698
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5940
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7461
275.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5026
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
2746
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4702
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4593
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6947
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6994
120.9 IPS |
