MacBook Pro (16-inch, 2024)
Geekbench AI Score
5362
Single Precision Score
37352
Half Precision Score
50342
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AltusRossouw |
| Upload Date | May 29 2025 07:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
17819
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
22977
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23472
380.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32242
522.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17264
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122504
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231096
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
20046
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24627
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4661
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
45519
540.9 IPS |
|
|
Face Detection (Q)
|
100% |
57112
678.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105845
815.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180587
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25101
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239049
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300829
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5983
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47182
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82763
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5753
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5797
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5570
95.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16464
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16659
287.9 IPS |
