MacBook Pro (16-inch, 2024)
Geekbench AI Score
5381
Single Precision Score
36775
Half Precision Score
49927
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 10:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
17601
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
21890
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23210
376.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32242
522.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17243
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122594
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228531
267.9 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
19505
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23315
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
45453
540.1 IPS |
|
|
Face Detection (Q)
|
100% |
66191
786.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105803
815.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177080
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25101
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239196
307.5 IPS |
|
|
Style Transfer (Q)
|
96% |
307337
396.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46518
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79163
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5686
97.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16748
288.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16463
284.5 IPS |
