MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4683
Single Precision Score
7361
Half Precision Score
5921
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SPD298 |
| Upload Date | September 28 2024 11:33 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.6 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.3 IPS |
|
|
Image Classification (Q)
|
96% |
1790
334.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2686
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16742
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28538
33.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21950
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (HP)
|
97% |
2929
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2168
172.8 IPS |
|
|
Face Detection (SP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
6453
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
3892
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7228
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12976
100.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8909
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30694
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43114
55.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33700
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7563
279.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4646
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4622
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4428
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6810
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6771
117.0 IPS |
