MacBook Pro (16-inch, 2024)
Geekbench AI Score
5393
Single Precision Score
37066
Half Precision Score
50215
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 11:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17520
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22030
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23366
378.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32445
526.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17424
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122624
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228086
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
19932
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
23689
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4719
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
45473
540.3 IPS |
|
|
Face Detection (Q)
|
100% |
66159
786.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8629
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111764
861.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
177603
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25707
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233969
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302725
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46729
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81232
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5412
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5620
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5646
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16273
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16255
280.9 IPS |
