MacBook Pro (14-inch, 2024)
Geekbench AI Score
19827
Single Precision Score
22277
Half Precision Score
19757
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ikristof |
| Upload Date | February 17 2025 09:39 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9557
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9963
1.85 KIPS |
|
|
Image Classification (Q)
|
97% |
8553
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17304
280.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18469
299.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18763
304.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
81703
95.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
84952
99.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
79285
92.9 IPS |
|
|
Object Detection (SP)
|
100% |
9112
722.7 IPS |
|
|
Object Detection (HP)
|
100% |
9772
775.2 IPS |
|
|
Object Detection (Q)
|
91% |
8427
673.4 IPS |
|
|
Face Detection (SP)
|
100% |
34641
411.6 IPS |
|
|
Face Detection (HP)
|
100% |
39981
475.1 IPS |
|
|
Face Detection (Q)
|
100% |
27746
329.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
42130
324.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46248
356.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
37583
293.7 IPS |
|
|
Style Transfer (SP)
|
100% |
192203
247.1 IPS |
|
|
Style Transfer (HP)
|
100% |
209041
268.7 IPS |
|
|
Style Transfer (Q)
|
96% |
194719
251.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26984
996.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28918
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22579
833.7 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5241
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3519
60.8 IPS |
