MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
19948
Single Precision Score
22177
Half Precision Score
20781
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | May 20 2025 11:18 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8113
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8146
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
7837
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19534
316.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20545
333.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19508
316.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
91351
106.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
92962
108.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
92462
108.3 IPS |
|
|
Object Detection (SP)
|
100% |
7426
589.1 IPS |
|
|
Object Detection (HP)
|
100% |
8473
672.0 IPS |
|
|
Object Detection (Q)
|
92% |
7833
625.3 IPS |
|
|
Face Detection (SP)
|
100% |
32615
387.5 IPS |
|
|
Face Detection (HP)
|
100% |
37458
445.1 IPS |
|
|
Face Detection (Q)
|
100% |
30360
360.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38788
298.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41050
316.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
39658
309.8 IPS |
|
|
Style Transfer (SP)
|
100% |
187548
241.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203567
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
195104
251.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26378
974.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25235
931.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23193
856.4 IPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5275
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4772
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5213
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5239
90.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5218
90.2 IPS |
