MacBook Pro (16-inch, 2024)
Geekbench AI Score
5781
Single Precision Score
37274
Half Precision Score
49820
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 06:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2153
400.4 IPS |
|
|
Image Classification (HP)
|
100% |
18033
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
20827
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23469
380.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31651
513.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17336
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122483
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230512
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
19957
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24153
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5072
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
44324
526.7 IPS |
|
|
Face Detection (Q)
|
100% |
63023
748.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8854
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103969
801.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176525
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30865
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237451
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
327607
422.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6889
254.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48622
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78238
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5494
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5985
103.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16929
291.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16384
283.1 IPS |
