MacBook Pro (16-inch, 2024)
Geekbench AI Score
5349
Single Precision Score
37701
Half Precision Score
52320
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Iceman_1975 |
| Upload Date | June 27 2025 06:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
18184
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
23318
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23427
379.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32416
525.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16935
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122618
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228633
268.0 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
20588
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25171
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
45620
542.1 IPS |
|
|
Face Detection (Q)
|
100% |
66278
787.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110083
848.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
181431
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25459
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
238295
306.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301938
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47222
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79715
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
7069
9.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5498
94.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17186
296.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17271
298.5 IPS |
