MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4792
Single Precision Score
7451
Half Precision Score
6407
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | headcrash13 |
| Upload Date | November 13 2024 10:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.2 IPS |
|
|
Image Classification (Q)
|
99% |
2425
452.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2693
43.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2716
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16615
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27415
32.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
20862
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2165
172.5 IPS |
|
|
Face Detection (SP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
6616
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3928
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7254
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13233
102.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13183
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30827
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
44449
57.1 IPS |
|
|
Style Transfer (Q)
|
100% |
44670
57.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7766
286.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4967
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4749
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4880
84.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7017
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7052
121.9 IPS |
