MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17471
Single Precision Score
20952
Half Precision Score
18415
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 07:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
7953
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8658
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
7271
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16463
266.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17677
286.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18249
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
92248
107.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
96583
112.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
91097
106.8 IPS |
|
|
Object Detection (SP)
|
100% |
7547
598.6 IPS |
|
|
Object Detection (HP)
|
100% |
8094
642.0 IPS |
|
|
Object Detection (Q)
|
91% |
7050
563.3 IPS |
|
|
Face Detection (SP)
|
100% |
31630
375.8 IPS |
|
|
Face Detection (HP)
|
100% |
37633
447.2 IPS |
|
|
Face Detection (Q)
|
100% |
26942
320.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
37852
291.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40495
312.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
35148
274.7 IPS |
|
|
Style Transfer (SP)
|
100% |
187259
240.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205823
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191724
247.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25760
951.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26857
991.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21139
780.6 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4670
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2937
50.8 IPS |
