MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2608
Single Precision Score
16079
Half Precision Score
18073
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 03:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1143
212.5 IPS |
|
|
Image Classification (HP)
|
100% |
7148
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
7663
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6459
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12751
206.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14545
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
103237
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
100803
118.1 IPS |
|
|
Object Detection (SP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (HP)
|
100% |
10037
796.1 IPS |
|
|
Object Detection (Q)
|
93% |
10020
799.5 IPS |
|
|
Face Detection (SP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
12644
150.2 IPS |
|
|
Face Detection (Q)
|
100% |
14752
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4223
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
61317
472.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
70792
553.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15736
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
149481
192.2 IPS |
|
|
Style Transfer (Q)
|
96% |
141994
183.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3384
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21236
784.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26589
981.8 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3541
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2707
46.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2699
46.6 IPS |
