MacBook Pro (14-inch, 2024)
Geekbench AI Score
5806
Single Precision Score
36598
Half Precision Score
49713
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 12:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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% |
2162
402.0 IPS |
|
|
Image Classification (HP)
|
100% |
17405
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22107
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22922
371.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32661
529.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17468
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122217
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
228808
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
19363
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
24200
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5099
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
44131
524.4 IPS |
|
|
Face Detection (Q)
|
100% |
62591
743.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8830
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
107794
830.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
172187
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
30696
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
236699
304.3 IPS |
|
|
Style Transfer (Q)
|
96% |
324084
418.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6871
253.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47884
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77726
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15907
274.0 IPS |
|
|
Machine Translation (Q)
|
98% |
15945
275.5 IPS |
