MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17215
Single Precision Score
19335
Half Precision Score
16664
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
8117
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8560
1.59 KIPS |
|
|
Image Classification (Q)
|
97% |
6594
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16932
274.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17599
285.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17713
287.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
92308
107.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95732
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
86200
101.0 IPS |
|
|
Object Detection (SP)
|
100% |
7485
593.7 IPS |
|
|
Object Detection (HP)
|
100% |
8369
663.9 IPS |
|
|
Object Detection (Q)
|
91% |
7102
567.5 IPS |
|
|
Face Detection (SP)
|
100% |
32273
383.5 IPS |
|
|
Face Detection (HP)
|
100% |
35258
418.9 IPS |
|
|
Face Detection (Q)
|
100% |
25875
307.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38065
293.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40785
314.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
34409
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
187166
240.6 IPS |
|
|
Style Transfer (HP)
|
100% |
206439
265.4 IPS |
|
|
Style Transfer (Q)
|
96% |
187369
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25388
937.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26697
985.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19964
737.2 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4850
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1430
24.7 IPS |
