MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13773
Single Precision Score
14018
Half Precision Score
13461
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 01:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7141
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7770
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
7172
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15767
255.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16633
269.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
16011
259.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
90249
105.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
94677
110.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
82854
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
7234
573.8 IPS |
|
|
Object Detection (HP)
|
100% |
7576
601.0 IPS |
|
|
Object Detection (Q)
|
92% |
6492
518.1 IPS |
|
|
Face Detection (SP)
|
100% |
27136
322.4 IPS |
|
|
Face Detection (HP)
|
100% |
29888
355.1 IPS |
|
|
Face Detection (Q)
|
100% |
20454
243.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37325
287.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40392
311.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
40194
310.8 IPS |
|
|
Style Transfer (SP)
|
100% |
182754
234.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200996
258.4 IPS |
|
|
Style Transfer (Q)
|
100% |
194119
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24827
916.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25618
946.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19363
717.4 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
502
670.2 IPS |
|
|
Text Classification (Q)
|
93% |
779
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1314
22.7 IPS |
