MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2633
Single Precision Score
13591
Half Precision Score
13873
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | August 23 2024 05:42 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1192
221.8 IPS |
|
|
Image Classification (HP)
|
100% |
7630
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
7630
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6485
105.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
6468
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15179
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
103929
121.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
100390
117.8 IPS |
|
|
Object Detection (SP)
|
100% |
1213
96.2 IPS |
|
|
Object Detection (HP)
|
100% |
10123
802.9 IPS |
|
|
Object Detection (Q)
|
93% |
10217
815.2 IPS |
|
|
Face Detection (SP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
12768
151.7 IPS |
|
|
Face Detection (Q)
|
100% |
14838
176.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4274
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61792
476.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
63840
493.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15786
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150059
192.9 IPS |
|
|
Style Transfer (Q)
|
100% |
151010
194.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3917
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21039
776.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25277
936.5 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
697
930.6 IPS |
|
|
Text Classification (Q)
|
93% |
613
822.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1999
34.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2381
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2354
40.7 IPS |
