MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4815
Single Precision Score
30726
Half Precision Score
32162
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jamault |
| Upload Date | December 28 2024 07:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
16034
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
9762
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21398
346.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27086
439.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16659
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120298
140.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119481
140.0 IPS |
|
|
Object Detection (SP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (HP)
|
100% |
16575
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16679
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
37791
449.0 IPS |
|
|
Face Detection (Q)
|
100% |
49487
588.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7444
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101240
780.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
115548
903.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30877
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
219427
282.1 IPS |
|
|
Style Transfer (Q)
|
96% |
210075
271.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37542
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50742
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4880
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7400
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7557
130.6 IPS |
