MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17168
Single Precision Score
19829
Half Precision Score
17525
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | November 17 2024 08:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7775
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7668
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
7056
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16476
267.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17208
279.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17800
288.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
91819
107.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
94908
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
90522
106.1 IPS |
|
|
Object Detection (SP)
|
100% |
7380
585.4 IPS |
|
|
Object Detection (HP)
|
100% |
8122
644.3 IPS |
|
|
Object Detection (Q)
|
91% |
7097
567.1 IPS |
|
|
Face Detection (SP)
|
100% |
31406
373.2 IPS |
|
|
Face Detection (HP)
|
100% |
34636
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
26355
313.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37664
290.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40220
309.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
34524
269.8 IPS |
|
|
Style Transfer (SP)
|
100% |
186254
239.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202817
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
185852
239.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24528
905.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25706
949.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21067
777.9 IPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4563
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4512
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2788
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2107
36.4 IPS |
