MacBook Pro (16-inch, 2024)
Geekbench AI Score
21426
Single Precision Score
23735
Half Precision Score
20246
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9944
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10235
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
8531
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19210
311.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20112
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20913
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
106586
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
109355
127.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103066
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
8988
712.9 IPS |
|
|
Object Detection (HP)
|
100% |
9977
791.4 IPS |
|
|
Object Detection (Q)
|
91% |
8593
686.6 IPS |
|
|
Face Detection (SP)
|
100% |
36730
436.4 IPS |
|
|
Face Detection (HP)
|
100% |
40012
475.4 IPS |
|
|
Face Detection (Q)
|
100% |
30647
364.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43934
338.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46726
360.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
39439
308.2 IPS |
|
|
Style Transfer (SP)
|
100% |
218914
281.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235884
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
216021
278.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30278
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30981
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25390
937.5 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5317
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5295
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3479
59.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2087
36.1 IPS |
