MacBook Pro (16-inch, 2024)
Geekbench AI Score
5782
Single Precision Score
37580
Half Precision Score
50676
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sknight |
| Upload Date | October 19 2025 10:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
18340
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
22481
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23528
381.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32772
531.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17242
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122536
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228906
268.3 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
19840
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23974
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5035
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
44470
528.4 IPS |
|
|
Face Detection (Q)
|
100% |
63339
752.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8819
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110648
852.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177664
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30235
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237436
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
326420
421.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49001
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80068
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5897
101.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16584
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16750
289.5 IPS |
