MacBook Pro 16" M4 Max 16/40 Cores Mac16,5
Geekbench AI Score
21558
Single Precision Score
24085
Half Precision Score
21440
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Heinsen |
| Upload Date | November 14 2024 11:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9902
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
10494
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
8796
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19978
323.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20644
334.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21020
340.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
106970
124.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
110462
128.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103841
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
9060
718.7 IPS |
|
|
Object Detection (HP)
|
100% |
10110
801.9 IPS |
|
|
Object Detection (Q)
|
91% |
8546
682.9 IPS |
|
|
Face Detection (SP)
|
100% |
36756
436.7 IPS |
|
|
Face Detection (HP)
|
100% |
40011
475.4 IPS |
|
|
Face Detection (Q)
|
100% |
30071
357.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44566
343.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47595
366.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
40308
315.0 IPS |
|
|
Style Transfer (SP)
|
100% |
224236
288.3 IPS |
|
|
Style Transfer (HP)
|
100% |
241229
310.1 IPS |
|
|
Style Transfer (Q)
|
96% |
219992
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30441
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31477
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26330
972.3 IPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5356
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3293
56.9 IPS |
