MacBook Pro (16-inch, 2024)
Geekbench AI Score
5367
Single Precision Score
37426
Half Precision Score
51523
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sabin1001 |
| Upload Date | December 22 2025 08:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
17475
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22955
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23288
377.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32963
534.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17436
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123195
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229785
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19759
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24309
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4664
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
45779
544.0 IPS |
|
|
Face Detection (Q)
|
100% |
63185
750.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8639
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111617
859.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
176668
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25474
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
239566
308.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302915
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5943
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46571
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78380
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5589
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
7110
9.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5565
95.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17085
294.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16554
286.1 IPS |
