MacBook Pro (14-inch, 2024)
Geekbench AI Score
5633
Single Precision Score
37995
Half Precision Score
51658
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 04:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
18466
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
22977
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23880
387.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
34401
557.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17217
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123774
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
234006
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
20034
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24470
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
44208
525.3 IPS |
|
|
Face Detection (Q)
|
100% |
65729
781.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8444
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
113375
873.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180972
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
30068
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
239661
308.1 IPS |
|
|
Style Transfer (Q)
|
96% |
328126
423.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49730
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82284
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5622
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17353
298.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16715
288.9 IPS |
