MacBook Pro (16-inch, 2024)
Geekbench AI Score
5743
Single Precision Score
36889
Half Precision Score
49622
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | October 19 2025 04:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2152
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
18222
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
21115
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23600
382.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31549
511.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17416
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122251
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230282
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
19247
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23529
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
44268
526.0 IPS |
|
|
Face Detection (Q)
|
100% |
62634
744.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8777
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103934
800.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
176227
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30438
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
236718
304.3 IPS |
|
|
Style Transfer (Q)
|
96% |
323804
417.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7058
260.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48822
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77585
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5413
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5954
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16023
276.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16171
279.5 IPS |
