MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4799
Single Precision Score
24268
Half Precision Score
26422
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | headcrash13 |
| Upload Date | November 13 2024 10:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1504
279.7 IPS |
|
|
Image Classification (HP)
|
100% |
16457
3.06 KIPS |
|
|
Image Classification (Q)
|
99% |
16835
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13816
224.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
13759
223.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16714
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116883
136.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
113590
133.2 IPS |
|
|
Object Detection (SP)
|
100% |
1975
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
15412
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16791
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
24794
294.6 IPS |
|
|
Face Detection (Q)
|
100% |
38502
457.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7354
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83553
643.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
87025
672.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30563
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
163620
210.3 IPS |
|
|
Style Transfer (Q)
|
100% |
164082
210.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5870
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38351
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
51720
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2828
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4860
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4844
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4766
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2726
47.1 IPS |
