MacBook Pro (16-inch, 2024)
Geekbench AI Score
20455
Single Precision Score
23161
Half Precision Score
19713
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zensage42 |
| Upload Date | December 23 2024 04:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 4.08 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9640
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
10102
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8388
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19783
320.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20524
332.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20815
337.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106138
123.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
109629
127.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103098
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
8449
670.2 IPS |
|
|
Object Detection (HP)
|
100% |
9616
762.8 IPS |
|
|
Object Detection (Q)
|
91% |
8146
651.0 IPS |
|
|
Face Detection (SP)
|
100% |
36599
434.9 IPS |
|
|
Face Detection (HP)
|
100% |
41939
498.3 IPS |
|
|
Face Detection (Q)
|
100% |
29113
345.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43178
332.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45740
352.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
39056
305.2 IPS |
|
|
Style Transfer (SP)
|
100% |
223712
287.6 IPS |
|
|
Style Transfer (HP)
|
100% |
239890
308.4 IPS |
|
|
Style Transfer (Q)
|
96% |
222677
287.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29593
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31238
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25795
952.5 IPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5064
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5074
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1824
31.5 IPS |
