MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18454
Single Precision Score
20613
Half Precision Score
15106
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | headcrash13 |
| Upload Date | November 13 2024 10:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
8130
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8587
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
7741
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16890
273.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17514
283.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
16996
275.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
92449
107.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
95797
111.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
84930
99.5 IPS |
|
|
Object Detection (SP)
|
100% |
7879
625.0 IPS |
|
|
Object Detection (HP)
|
100% |
8661
687.0 IPS |
|
|
Object Detection (Q)
|
91% |
7276
581.4 IPS |
|
|
Face Detection (SP)
|
100% |
32341
384.3 IPS |
|
|
Face Detection (HP)
|
100% |
35984
427.6 IPS |
|
|
Face Detection (Q)
|
100% |
25589
304.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
38661
297.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41277
318.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
6151
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
186521
239.8 IPS |
|
|
Style Transfer (HP)
|
100% |
206190
265.1 IPS |
|
|
Style Transfer (Q)
|
100% |
197935
254.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25578
944.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27100
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
18801
696.5 IPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4836
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4793
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2827
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2711
46.9 IPS |
