MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4939
Single Precision Score
7806
Half Precision Score
6105
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ChrisMunson |
| Upload Date | December 17 2024 09:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.69 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.7 IPS |
|
|
Image Classification (Q)
|
96% |
1841
343.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16706
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28443
33.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22077
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
1994
158.1 IPS |
|
|
Object Detection (HP)
|
97% |
3146
250.4 IPS |
|
|
Object Detection (Q)
|
94% |
2279
181.7 IPS |
|
|
Face Detection (SP)
|
100% |
4075
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
6719
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3858
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7348
56.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13346
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9093
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31069
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43199
55.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33806
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8273
305.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5324
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5268
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4784
82.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7393
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7119
123.0 IPS |
