MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3946
Single Precision Score
5462
Half Precision Score
4515
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | juergen206 |
| Upload Date | August 15 2024 05:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
99% |
2030
378.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1442
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8671
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17167
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14578
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (HP)
|
97% |
2552
203.1 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
5233
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3420
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6816
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9791
75.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4323
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19870
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29695
38.2 IPS |
|
|
Style Transfer (Q)
|
100% |
29911
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5393
199.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4265
158.0 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4641
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4638
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3071
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4783
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4775
82.5 IPS |
