MacBook Pro (14-inch, 2024)
Geekbench AI Score
5758
Single Precision Score
37564
Half Precision Score
50636
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Nuckell |
| Upload Date | November 28 2025 01:43 PM |
| Views | 13 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2157
401.1 IPS |
|
|
Image Classification (HP)
|
100% |
17832
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22355
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23470
380.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32966
534.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17095
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122572
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231463
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
20387
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24328
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4946
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
44643
530.5 IPS |
|
|
Face Detection (Q)
|
100% |
63036
749.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8672
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108982
839.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176423
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30355
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238032
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
330174
426.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7102
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49482
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80525
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5934
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16606
286.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16423
283.8 IPS |
