MacBook Pro (14-inch, 2024)
Geekbench AI Score
5729
Single Precision Score
37133
Half Precision Score
50199
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 12:50 PM |
| Views | 3 |
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 (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% |
2151
400.0 IPS |
|
|
Image Classification (HP)
|
100% |
17930
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22016
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23563
382.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33123
537.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17269
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123232
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230709
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.4 IPS |
|
|
Object Detection (HP)
|
100% |
20190
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23967
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4960
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
44249
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
63197
750.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8743
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
108477
835.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178691
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
30609
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237039
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
327369
422.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7063
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48763
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79887
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5300
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5277
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5846
100.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16128
277.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16173
279.5 IPS |
