MacBook Pro (16-inch, 2024)
Geekbench AI Score
5393
Single Precision Score
37078
Half Precision Score
50506
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | September 11 2025 07:41 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
17377
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
23127
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23293
377.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32261
523.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17294
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122778
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
228644
268.0 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
19650
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23585
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4746
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
45537
541.1 IPS |
|
|
Face Detection (Q)
|
100% |
66167
786.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8655
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106004
816.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
176859
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25485
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237267
305.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304427
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46697
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78356
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5711
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5766
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5667
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16465
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16678
288.2 IPS |
