MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4728
Single Precision Score
7341
Half Precision Score
5983
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | November 12 2024 07:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (HP)
|
100% |
2398
445.9 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2661
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16672
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28375
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21450
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.8 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2167
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
4038
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
6568
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3893
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7279
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12742
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9136
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30347
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42882
55.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33797
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5683
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7646
282.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
2640
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4528
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4584
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6920
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7425
128.3 IPS |
