MacBook Pro (14-inch, 2024)
Geekbench AI Score
6049
Single Precision Score
41916
Half Precision Score
57457
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 08:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
2146
399.1 IPS |
|
|
Image Classification (HP)
|
100% |
20246
3.77 KIPS |
|
|
Image Classification (Q)
|
97% |
26699
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24168
391.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
36151
586.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15604
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123614
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232898
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
22077
1.75 KIPS |
|
|
Object Detection (Q)
|
89% |
27302
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
46754
555.5 IPS |
|
|
Face Detection (Q)
|
100% |
74205
881.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8969
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
115076
886.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
189273
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
29968
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
241573
310.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302614
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5530
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52704
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86743
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
6362
8.49 KIPS |
|
|
Text Classification (HP)
|
99% |
9967
13.3 KIPS |
|
|
Text Classification (Q)
|
93% |
9468
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
5857
100.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18366
316.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18306
316.3 IPS |
