MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2237
Single Precision Score
27982
Half Precision Score
31107
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 06:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.58 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
888
165.2 IPS |
|
|
Image Classification (HP)
|
100% |
8988
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
12374
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20742
336.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25430
412.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7686
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
115513
134.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
113861
133.5 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
100% |
13221
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
15772
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
33491
397.9 IPS |
|
|
Face Detection (Q)
|
100% |
46289
550.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4829
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102875
792.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
97633
763.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16893
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
206427
265.4 IPS |
|
|
Style Transfer (Q)
|
96% |
200746
259.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36630
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44365
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5281
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7104
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7063
122.1 IPS |
