MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4775
Single Precision Score
29209
Half Precision Score
31951
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | November 12 2024 03:18 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
15999
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17207
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21383
346.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26402
428.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16740
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120128
140.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
118512
138.9 IPS |
|
|
Object Detection (SP)
|
100% |
1985
157.4 IPS |
|
|
Object Detection (HP)
|
100% |
16457
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16356
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
4064
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
37168
441.6 IPS |
|
|
Face Detection (Q)
|
100% |
48914
581.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7338
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100177
771.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
115002
899.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30467
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
218753
281.2 IPS |
|
|
Style Transfer (Q)
|
96% |
209934
270.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36992
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50157
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4687
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4550
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4673
80.8 IPS |
