MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3808
Single Precision Score
30558
Half Precision Score
32081
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 03:39 AM |
| Views | 2 |
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 (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 | 2.79 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
16196
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
17308
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20685
335.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26360
427.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13208
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119989
140.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
118313
138.7 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
18735
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
15603
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
35691
424.1 IPS |
|
|
Face Detection (Q)
|
100% |
44097
524.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5913
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104486
805.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
106903
835.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24712
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
216824
278.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210320
271.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4757
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43888
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51107
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2199
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3833
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6902
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7061
122.0 IPS |
