MacBook Pro (16-inch, 2024)
Geekbench AI Score
5276
Single Precision Score
38073
Half Precision Score
50577
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 05 2025 07:05 PM |
| Views | 5 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
18125
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
22984
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23430
379.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32547
527.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16627
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122560
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229860
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
20441
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24819
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4572
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
45041
535.2 IPS |
|
|
Face Detection (Q)
|
100% |
58416
694.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112087
863.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
179755
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25024
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237284
305.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300818
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5907
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47080
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80058
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6347
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6053
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16808
289.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16767
289.8 IPS |
