MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17735
Single Precision Score
19777
Half Precision Score
15226
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | November 06 2024 08:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
7383
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7785
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
7626
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16709
270.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17123
277.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
17029
276.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
91633
106.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
94877
110.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
85852
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
7496
594.6 IPS |
|
|
Object Detection (HP)
|
100% |
8172
648.2 IPS |
|
|
Object Detection (Q)
|
91% |
7313
584.3 IPS |
|
|
Face Detection (SP)
|
100% |
31698
376.6 IPS |
|
|
Face Detection (HP)
|
100% |
35092
417.0 IPS |
|
|
Face Detection (Q)
|
100% |
26311
312.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38073
293.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40102
309.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
6142
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
184587
237.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202155
259.9 IPS |
|
|
Style Transfer (Q)
|
100% |
202216
260.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23421
864.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24474
903.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19962
739.5 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4541
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4490
6.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2805
48.5 IPS |
