MacBook Pro (16-inch, 2024)
Geekbench AI Score
5546
Single Precision Score
37196
Half Precision Score
50220
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | December 22 2025 04:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
2094
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
18241
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
21984
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23500
381.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33259
539.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16950
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122255
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229120
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
20372
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24217
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4871
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
44017
523.0 IPS |
|
|
Face Detection (Q)
|
100% |
62738
745.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109918
846.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179606
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
29276
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235967
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
323803
417.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6812
251.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50010
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80218
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5211
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5265
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5155
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15964
275.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16324
282.1 IPS |
