MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13411
Single Precision Score
13358
Half Precision Score
12570
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jessefreeman |
| Upload Date | August 19 2024 10:17 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% |
6461
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6786
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
6132
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12924
209.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13612
220.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
13205
214.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
65985
77.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69443
81.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61745
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
6723
533.3 IPS |
|
|
Object Detection (HP)
|
100% |
7025
557.2 IPS |
|
|
Object Detection (Q)
|
92% |
6122
488.6 IPS |
|
|
Face Detection (SP)
|
100% |
23073
274.2 IPS |
|
|
Face Detection (HP)
|
100% |
26399
313.7 IPS |
|
|
Face Detection (Q)
|
100% |
19081
226.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31413
242.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33970
261.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
34243
264.8 IPS |
|
|
Style Transfer (SP)
|
100% |
140656
180.8 IPS |
|
|
Style Transfer (HP)
|
100% |
158044
203.2 IPS |
|
|
Style Transfer (Q)
|
100% |
154143
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21342
788.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22150
817.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16494
611.1 IPS |
|
|
Text Classification (SP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
570
760.9 IPS |
|
|
Text Classification (Q)
|
93% |
882
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2244
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2197
38.0 IPS |
