MacBook Pro (14-inch, 2024)
Geekbench AI Score
5480
Single Precision Score
37479
Half Precision Score
50413
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 09:37 AM |
| Views | 2 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
17979
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
22245
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23627
383.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32276
523.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16341
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122652
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230177
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
20373
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24186
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4551
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
44053
523.4 IPS |
|
|
Face Detection (Q)
|
100% |
63148
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8480
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110963
854.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
178266
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
28933
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235035
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
325491
420.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6956
256.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49613
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81474
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5462
94.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16255
280.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16785
290.1 IPS |
