MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18721
Single Precision Score
20624
Half Precision Score
18635
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | muddybulldog |
| Upload Date | January 15 2025 01:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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 | 4.01 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8185
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8707
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
7287
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16792
272.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17448
282.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18482
299.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92483
107.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
96330
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89713
105.2 IPS |
|
|
Object Detection (SP)
|
100% |
7814
619.8 IPS |
|
|
Object Detection (HP)
|
100% |
8593
681.6 IPS |
|
|
Object Detection (Q)
|
91% |
7341
586.6 IPS |
|
|
Face Detection (SP)
|
100% |
33408
397.0 IPS |
|
|
Face Detection (HP)
|
100% |
35343
420.0 IPS |
|
|
Face Detection (Q)
|
100% |
27374
325.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
40421
311.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41394
318.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
35210
275.2 IPS |
|
|
Style Transfer (SP)
|
100% |
189039
243.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205868
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190754
246.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24699
912.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25815
953.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21544
795.5 IPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4741
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4789
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3003
51.9 IPS |
