MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13730
Single Precision Score
14032
Half Precision Score
12570
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | August 15 2024 05:17 PM |
| Views | 11 |
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% |
6800
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7587
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
6503
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13208
214.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13870
224.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
13580
220.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
66342
77.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
69633
81.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62082
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
6915
548.5 IPS |
|
|
Object Detection (HP)
|
100% |
7198
571.0 IPS |
|
|
Object Detection (Q)
|
92% |
6161
491.8 IPS |
|
|
Face Detection (SP)
|
100% |
23298
276.8 IPS |
|
|
Face Detection (HP)
|
100% |
27286
324.2 IPS |
|
|
Face Detection (Q)
|
100% |
18544
220.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32092
247.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35014
269.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
34324
265.4 IPS |
|
|
Style Transfer (SP)
|
100% |
144354
185.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160455
206.3 IPS |
|
|
Style Transfer (Q)
|
100% |
154497
198.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22888
845.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22876
844.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17160
635.8 IPS |
|
|
Text Classification (SP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
715
954.3 IPS |
|
|
Text Classification (Q)
|
93% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2238
38.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2287
39.5 IPS |
