MacBook Pro (16-inch, 2024)
Geekbench AI Score
5593
Single Precision Score
36441
Half Precision Score
49664
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | asaki2769 |
| Upload Date | April 27 2025 07:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
16962
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
22796
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22620
366.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31326
507.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17806
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122334
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229306
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
18919
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
23331
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
45149
536.5 IPS |
|
|
Face Detection (Q)
|
100% |
63905
759.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8866
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
109337
842.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175631
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
26193
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232403
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296696
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45358
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79712
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6206
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16348
281.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16393
283.3 IPS |
