MacBook Pro (16-inch, 2024)
Geekbench AI Score
5693
Single Precision Score
38976
Half Precision Score
53545
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ronlee97 |
| Upload Date | August 08 2025 09:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.09 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
18604
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24483
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23802
385.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33374
541.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18519
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124873
145.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
234032
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
20741
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
25949
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
46724
555.2 IPS |
|
|
Face Detection (Q)
|
100% |
66410
789.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8664
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112434
866.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
185801
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
35043
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238282
306.3 IPS |
|
|
Style Transfer (Q)
|
96% |
308568
398.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6985
257.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47471
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85001
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6859
9.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6913
9.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5303
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17309
298.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17453
301.6 IPS |
