MacBook Pro (16-inch, 2024)
Geekbench AI Score
5723
Single Precision Score
37879
Half Precision Score
50279
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 04:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
17880
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
23120
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23206
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32086
520.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18864
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122967
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230278
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
20163
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24612
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44431
527.9 IPS |
|
|
Face Detection (Q)
|
100% |
59420
706.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
115032
886.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177783
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35011
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237057
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300218
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7034
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46220
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79025
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5736
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16799
289.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16664
288.0 IPS |
