MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
15542
Single Precision Score
16101
Half Precision Score
14581
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | krofa |
| Upload Date | January 22 2025 06:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7192
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7732
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
7251
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16058
260.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16765
271.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
15964
258.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
90139
105.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
94239
110.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
83152
97.4 IPS |
|
|
Object Detection (SP)
|
100% |
7159
567.8 IPS |
|
|
Object Detection (HP)
|
100% |
7624
604.7 IPS |
|
|
Object Detection (Q)
|
92% |
6547
522.6 IPS |
|
|
Face Detection (SP)
|
100% |
26412
313.8 IPS |
|
|
Face Detection (HP)
|
100% |
29537
351.0 IPS |
|
|
Face Detection (Q)
|
100% |
21521
255.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
37285
287.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40844
314.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
39712
307.0 IPS |
|
|
Style Transfer (SP)
|
100% |
182567
234.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200055
257.2 IPS |
|
|
Style Transfer (Q)
|
100% |
195776
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25144
928.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26185
966.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19203
711.4 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
93% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2042
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2273
39.3 IPS |
