MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4498
Single Precision Score
7507
Half Precision Score
6420
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | October 24 2024 06:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
2399
446.1 IPS |
|
|
Image Classification (Q)
|
99% |
2400
447.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2737
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16834
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28732
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
21317
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (HP)
|
97% |
2972
236.6 IPS |
|
|
Object Detection (Q)
|
94% |
2261
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6552
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3929
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7382
56.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12895
99.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13154
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30609
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42909
55.2 IPS |
|
|
Style Transfer (Q)
|
100% |
42415
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7946
293.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4996
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
2750
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4847
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4820
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7184
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7121
123.1 IPS |
