MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17989
Single Precision Score
19986
Half Precision Score
14823
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | September 12 2024 03:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8023
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8075
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
7458
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16737
271.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17931
290.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
17072
276.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
93439
109.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
95627
111.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
83954
98.3 IPS |
|
|
Object Detection (SP)
|
100% |
7583
601.5 IPS |
|
|
Object Detection (HP)
|
100% |
8559
678.9 IPS |
|
|
Object Detection (Q)
|
91% |
6957
555.9 IPS |
|
|
Face Detection (SP)
|
100% |
32879
390.7 IPS |
|
|
Face Detection (HP)
|
100% |
35976
427.5 IPS |
|
|
Face Detection (Q)
|
100% |
25485
302.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38031
293.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40716
313.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
6123
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
189157
243.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204914
263.4 IPS |
|
|
Style Transfer (Q)
|
100% |
202555
260.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24398
900.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26506
978.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18735
694.1 IPS |
|
|
Text Classification (SP)
|
100% |
2732
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4680
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2366
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2485
42.9 IPS |
