MacBook Pro (16-inch, 2024)
Geekbench AI Score
5667
Single Precision Score
36764
Half Precision Score
50223
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 12:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
2136
397.3 IPS |
|
|
Image Classification (HP)
|
100% |
17392
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21445
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23653
383.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33371
541.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17449
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120711
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232090
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (HP)
|
100% |
20463
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24324
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
43882
521.4 IPS |
|
|
Face Detection (Q)
|
100% |
62599
743.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8559
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109958
847.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
178223
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30189
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235464
302.7 IPS |
|
|
Style Transfer (Q)
|
96% |
327669
422.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6922
255.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49041
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80195
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5122
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5743
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15558
268.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16597
286.8 IPS |
