MacBook Pro (16-inch, 2024)
Geekbench AI Score
5360
Single Precision Score
36965
Half Precision Score
49615
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ironbcc |
| Upload Date | April 17 2025 04:33 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
17648
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22961
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23232
376.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32222
522.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17142
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122674
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230083
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
20039
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24463
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4656
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
43942
522.1 IPS |
|
|
Face Detection (Q)
|
100% |
56378
669.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8594
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111846
861.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177788
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25393
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237249
305.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303194
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46529
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79306
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2873
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5610
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16315
281.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17061
294.8 IPS |
