MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
15489
Single Precision Score
15490
Half Precision Score
4582
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | eric_arbanovella |
| Upload Date | October 03 2024 04:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 4.03 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7224
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7695
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
5700
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15961
258.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16326
264.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16547
268.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
90063
105.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
95029
110.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
83323
97.6 IPS |
|
|
Object Detection (SP)
|
100% |
7172
568.9 IPS |
|
|
Object Detection (HP)
|
100% |
7699
610.7 IPS |
|
|
Object Detection (Q)
|
92% |
6567
524.2 IPS |
|
|
Face Detection (SP)
|
100% |
26172
311.0 IPS |
|
|
Face Detection (HP)
|
100% |
29669
352.5 IPS |
|
|
Face Detection (Q)
|
100% |
21139
251.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37548
289.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40010
308.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
267.1 IPS |
|
|
Style Transfer (SP)
|
100% |
183118
235.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201098
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
181299
234.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24506
904.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25553
943.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19481
719.3 IPS |
|
|
Text Classification (SP)
|
100% |
1716
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (Q)
|
93% |
634
851.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1671
28.9 IPS |
