MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
12453
Single Precision Score
13726
Half Precision Score
11946
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | marlody |
| Upload Date | August 16 2024 01:42 PM |
| Views | 11 |
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 | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6513
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6877
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
6156
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13093
212.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13803
223.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
13381
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66333
77.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
69527
81.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
61779
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
6809
540.1 IPS |
|
|
Object Detection (HP)
|
100% |
7154
567.5 IPS |
|
|
Object Detection (Q)
|
92% |
5850
466.9 IPS |
|
|
Face Detection (SP)
|
100% |
22605
268.6 IPS |
|
|
Face Detection (HP)
|
100% |
26283
312.3 IPS |
|
|
Face Detection (Q)
|
100% |
19029
226.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
32043
246.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34507
265.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
33883
262.0 IPS |
|
|
Style Transfer (SP)
|
100% |
142393
183.0 IPS |
|
|
Style Transfer (HP)
|
100% |
158322
203.5 IPS |
|
|
Style Transfer (Q)
|
100% |
153185
196.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22066
814.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22925
846.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16542
612.9 IPS |
|
|
Text Classification (SP)
|
100% |
575
766.9 IPS |
|
|
Text Classification (HP)
|
100% |
686
915.5 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2227
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2206
38.1 IPS |
