MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2632
Single Precision Score
15903
Half Precision Score
17754
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | eric_arbanovella |
| Upload Date | October 03 2024 04:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 4.03 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1154
214.7 IPS |
|
|
Image Classification (HP)
|
100% |
7184
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
7154
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6396
103.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12773
207.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14765
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102717
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
100285
117.5 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
100% |
9343
741.1 IPS |
|
|
Object Detection (Q)
|
93% |
9394
749.6 IPS |
|
|
Face Detection (SP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
12562
149.3 IPS |
|
|
Face Detection (Q)
|
100% |
15023
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4350
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
60116
463.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
68438
535.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15845
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
148713
191.2 IPS |
|
|
Style Transfer (Q)
|
96% |
139660
180.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19292
712.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23866
881.3 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2706
46.8 IPS |
