MacBook Pro (16-inch, 2024)
Geekbench AI Score
5765
Single Precision Score
37137
Half Precision Score
49575
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ThatsTeo_ |
| Upload Date | September 09 2025 07:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
2147
399.3 IPS |
|
|
Image Classification (HP)
|
100% |
18205
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
21681
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23470
380.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31833
516.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17424
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122332
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229630
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2572
204.0 IPS |
|
|
Object Detection (HP)
|
100% |
19665
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23272
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
5085
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
44445
528.1 IPS |
|
|
Face Detection (Q)
|
100% |
62654
744.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8782
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109058
840.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
173552
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
30685
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236120
303.5 IPS |
|
|
Style Transfer (Q)
|
96% |
326099
420.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6706
247.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48125
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78078
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5994
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16307
280.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16252
280.9 IPS |
