MacBook Pro (16-inch, 2024)
Geekbench AI Score
5883
Single Precision Score
37155
Half Precision Score
49321
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 05:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
17615
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22274
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22739
368.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31125
504.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19020
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123112
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230690
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
19244
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23381
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4725
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
44374
527.3 IPS |
|
|
Face Detection (Q)
|
100% |
61745
733.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8927
68.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110532
851.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178658
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
36076
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232095
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295635
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7117
262.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45776
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77744
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6282
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6043
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16143
278.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16322
282.1 IPS |
