MacBook Pro (14-inch, 2024)
Geekbench AI Score
5674
Single Precision Score
37254
Half Precision Score
50657
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 06:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2152
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
17712
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
22112
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23405
379.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32849
532.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17158
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123520
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229502
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.9 IPS |
|
|
Object Detection (HP)
|
100% |
18963
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
24510
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4759
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
44451
528.2 IPS |
|
|
Face Detection (Q)
|
100% |
63470
754.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8538
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
107545
828.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176729
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
29703
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235280
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
328231
423.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49353
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80446
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5731
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5720
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16671
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16324
282.1 IPS |
