MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11993
Single Precision Score
13671
Half Precision Score
12549
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | marsplaneetta |
| Upload Date | August 15 2024 11:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6564
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6734
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
6130
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13054
211.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13778
223.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
13263
215.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
66173
77.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69448
81.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61561
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
6798
539.2 IPS |
|
|
Object Detection (HP)
|
100% |
7204
571.5 IPS |
|
|
Object Detection (Q)
|
92% |
5916
472.2 IPS |
|
|
Face Detection (SP)
|
100% |
23618
280.6 IPS |
|
|
Face Detection (HP)
|
100% |
27023
321.1 IPS |
|
|
Face Detection (Q)
|
100% |
19332
229.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31912
245.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34008
262.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
33896
262.1 IPS |
|
|
Style Transfer (SP)
|
100% |
140717
180.9 IPS |
|
|
Style Transfer (HP)
|
100% |
157934
203.0 IPS |
|
|
Style Transfer (Q)
|
100% |
153603
197.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21260
785.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22019
813.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16458
609.8 IPS |
|
|
Text Classification (SP)
|
100% |
381
508.3 IPS |
|
|
Text Classification (HP)
|
100% |
697
930.3 IPS |
|
|
Text Classification (Q)
|
93% |
892
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1859
32.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2207
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2214
38.3 IPS |
