MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
15310
Single Precision Score
19528
Half Precision Score
17414
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 08:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7229
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7846
1.46 KIPS |
|
|
Image Classification (Q)
|
97% |
6729
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13753
222.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14630
237.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15120
245.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
66972
78.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69416
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65827
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
7310
579.9 IPS |
|
|
Object Detection (HP)
|
100% |
7843
622.1 IPS |
|
|
Object Detection (Q)
|
91% |
6595
527.0 IPS |
|
|
Face Detection (SP)
|
100% |
26763
318.0 IPS |
|
|
Face Detection (HP)
|
100% |
31101
369.5 IPS |
|
|
Face Detection (Q)
|
100% |
22798
270.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
32812
252.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34874
268.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
28392
221.9 IPS |
|
|
Style Transfer (SP)
|
100% |
144113
185.3 IPS |
|
|
Style Transfer (HP)
|
100% |
160815
206.7 IPS |
|
|
Style Transfer (Q)
|
96% |
150117
193.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21578
796.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22528
831.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18507
683.4 IPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4665
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4678
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7042
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6903
119.3 IPS |
